DEV Community: Giosue Milan

The "Free Tier" Trap: How Serverless is Costing You Thousands

Giosue Milan — Tue, 22 Sep 2026 07:41:25 +0000

Everyone loves Vercel and AWS Lambda until they get their first DDOS attack and wake up to a $4,000 bill.

Serverless functions scale infinitely... which means your bill scales infinitely too.

How to Protect Your SaaS

If you are building a Micro-SaaS, you absolutely MUST have rate limiting at the edge. You cannot wait for the request to hit your database to check if the user has credits. By then, you've already paid for the compute.

You need to use Upstash Redis or Cloudflare Workers to block malicious IPs before they hit your core logic.

But wiring that up is a nightmare...

Yes, it is. That's why I stopped doing it from scratch.

I built a single, unified Next.js Boilerplate that has Edge Rate Limiting, Stripe Webhooks, NextAuth, and Gemini AI fully configured.

⚡ Stop paying the stupid tax.
I open-sourced my exact production setup for $1. I also compiled my top 100 System Architecture Prompts for $5.
👉 Grab them here and protect your SaaS

Why 90% of Junior Developers Will Be Replaced by 2027 (And How to Survive)

Giosue Milan — Tue, 22 Sep 2026 07:40:19 +0000

The tech industry is shifting. If your entire skill set is writing React components and basic CRUD endpoints, you are competing directly with AI models that can do it in 12 seconds for $0.001.

So how do you survive? You move up the stack.

Stop Writing Boilerplate

The developers who survive won't be the ones writing raw HTML and CSS. They will be the ones who know how to architect systems, integrate APIs, and ship products that actually make money.

You need to become a "Product Engineer."

Instead of spending two weeks figuring out how to wire up Stripe webhooks, NextAuth, and a Prisma schema... you should be using a boilerplate to do it in 5 minutes.

The Shortcut

The best way to learn architecture is to read production-grade code.

I just open-sourced my internal Next.js 14 + Stripe + AI SaaS Boilerplate. I also bundled it with my top 100 System Architecture & Prompts guide.

🔥 Skip the junior work.
You can grab the entire production-ready Boilerplate for $1, and the 100 Advanced AI Prompts for $5.
👉 Get the Developer Masterclass Here

Why you are using the Gemini API wrong (and how to fix it)

Giosue Milan — Tue, 22 Sep 2026 07:03:28 +0000

If you are just throwing raw strings at the Gemini API and hoping for the best, you are leaving 90% of its power on the table.

Most developers treat LLMs like a glorified search engine. But if you want to build a real AI SaaS, you need to structure your prompts like an API payload.

Stop using raw strings. Start using Structured Outputs.

Instead of asking the model to "Format the output as JSON", you need to use response_mime_type: "application/json".

This guarantees the output is always valid JSON, which means you don't have to write messy RegEx to parse the response before saving it to your database.

The System Prompt is your architecture.

Your system prompt shouldn't just be "You are a helpful assistant." It needs to define constraints, tone, and fallback behavior.
If the API fails to generate a response, how does your app handle it? If it hallucinates, how do you catch it?

🔥 Skip the trial and error.
I built a production-ready Next.js boilerplate that already handles Gemini API rate limits, structured JSON outputs, and edge cases. I also compiled the Top 100 System Prompts for software engineers.

I dropped the price to exactly $1 today.
👉 Grab the Boilerplate & Prompts Here

The 3 Biggest Mistakes Developers Make When Pricing Their SaaS

Giosue Milan — Tue, 22 Sep 2026 06:46:47 +0000

If you are a developer, you probably suck at pricing.

You build an incredible tool that solves a massive problem, and then you charge $5/month for it. Or worse, you give it away for free with a "Buy Me A Coffee" button.

Stop undervaluing your code.

In 2026, businesses are willing to pay for speed. They don't care how elegant your recursive function is. They care if your tool saves them 10 hours a week. If it does, charge $49/month.

But what if you aren't building B2B? What if you are building tools for other developers?

The Micro-SaaS Boilerplate Model

Selling to developers is notoriously hard because we always think, "I could build that myself."

Yes, we could build a Next.js boilerplate with Stripe, NextAuth, Prisma, and Gemini AI integration. But it would take us a full weekend. Is your weekend worth more than $1?

Because I just open-sourced my entire internal SaaS boilerplate for literally $1.

🛠️ Launch your next idea in 10 minutes.
I got tired of building Auth and Stripe logic from scratch. So I built the ultimate boilerplate and priced it at $1 to remove all friction.

Get it, clone it, and launch your SaaS this weekend.
👉 Get the $1 AI SaaS Boilerplate Here

Stop building Auth and Stripe from scratch in 2026

Giosue Milan — Tue, 22 Sep 2026 06:44:26 +0000

If you are a solo developer trying to launch a Micro-SaaS, you are probably wasting 90% of your time on infrastructure.

I know because I did the exact same thing. I would get a great idea, spin up a Next.js app, and then spend the next two weeks wiring up NextAuth, Stripe webhooks, Prisma schemas, and protected API routes. By the time the infra was done, I had lost all motivation to actually build the core product.

The game has changed. You cannot afford to spend weeks on boilerplate code when AI allows your competitors to ship in days.

🔥 Shortcut for builders: I got so tired of this loop that I built a complete, production-ready AI SaaS boilerplate (Next.js 14, Stripe, NextAuth, Tailwind, Gemini AI integration). I was going to sell it for $99, but I just want people to use it.

I dropped the price to exactly $1 today.

Grab the full source code here and save yourself 40 hours of work: Get the $1 SaaS Boilerplate

Why building from scratch is killing your momentum

1. The Stripe Webhook Nightmare

Handling Stripe subscriptions isn't just about calling stripe.checkout.sessions.create(). It's about listening to customer.subscription.updated, handling failed payments, updating your database, and provisioning access. If you get this wrong, users get free access or get locked out after paying.

2. Auth State Management

Managing sessions between the server components (Next.js App Router) and client components securely requires deep knowledge of JWTs, session strategies, and middleware.

3. AI Rate Limiting

If you're building an AI wrapper, you must rate-limit your users based on their subscription tier, otherwise a single malicious user can rack up thousands of dollars in LLM API bills.

The Solution: Use a Boilerplate

Instead of writing the same 5,000 lines of boilerplate code every single time you start a project, you need a starting point that already has:

User Authentication (Google OAuth + Magic Links)
Payments & Subscriptions (Stripe Checkout & Webhooks)
Database schema (Prisma / PostgreSQL)
AI Integration (Pre-configured API routes for LLMs)
Beautiful UI Components (Tailwind + Radix)

Don't reinvent the wheel.

If your goal is to launch a product and make money, your users do not care how you built your auth system. They only care if your app solves their problem.

Stop writing boilerplate. Focus on the business logic.

⚡ Ready to ship this weekend?
Get my fully wired-up Next.js AI SaaS Boilerplate.
Fully documented, ready to deploy to Vercel, and currently priced at $1.

👉 Download the Boilerplate Code Here

Why I'm giving away my $99 Next.js SaaS Boilerplate for $1

Giosue Milan — Sun, 13 Sep 2026 14:10:03 +0000

Why I'm giving away my $99 Next.js SaaS Boilerplate for $1

Let's be honest. Setting up a SaaS from scratch in 2026 is still a massive pain.
You have to wire up Next.js App Router, configure Tailwind, setup Prisma, manage Supabase Auth, and deal with Stripe webhooks. It takes a full weekend just to get to "Hello World" with payments.

I built a premium boilerplate that solves all of this. I was selling it for $99, and it's worth every penny in time saved.

But today, I'm running an experiment. I want to see what happens if I drop the price to literally $1.

What's included in the box?

Next.js 14 App Router
Tailwind CSS + shadcn/ui
Supabase Authentication
Prisma ORM + PostgreSQL
Stripe Subscriptions & Webhooks (pre-configured)
Google Gemini / OpenAI API wrappers

If you have a side project idea you want to launch this weekend, don't waste 20 hours on setup. Just grab this boilerplate for $1 and start building your actual features.

👉 Get the Premium Boilerplate for $1 here

This flash sale won't last forever. I'll probably put it back to $99 by next week. Grab it while you can!

Why 99% of resumes get rejected by ATS bots — and how I built a fix with Gemini AI

Giosue Milan — Fri, 11 Sep 2026 05:30:36 +0000

Why 99% of resumes get rejected by ATS bots - and how I built a fix with Gemini AI

If you've been applying to tech jobs recently, you know the feeling. You spend hours tweaking your resume, hit submit, and within 24 hours, you receive an automated "we have decided to move forward with other candidates" email.

It feels personal, but it's not. Your resume probably never even reached a human. It was filtered out by an Applicant Tracking System (ATS).

Today, I’m going to explain exactly why this happens, how these bots actually work, and how I built a robust software solution using Google's Gemini AI to beat them at their own game.

The ATS Black Box

Most developers think of an ATS as a simple keyword matcher. While keywords are important, modern ATS platforms (like Workday, Greenhouse, or Lever) do semantic parsing. They don't just look for the word "React"; they try to understand the context. Did you use React for 3 years, or did you just list it in a generic skills section?

Here’s why most resumes fail:

Formatting Nightmares: Multi-column layouts, weird fonts, and graphics break ATS parsers. The bot reads it as garbled text.
Missing Contextual Keywords: The job asks for "Cloud Infrastructure." You wrote "AWS and GCP." A human knows what that means; a poorly configured ATS might not.
Weak Action Verbs: Bots are programmed to look for impact. Starting bullet points with "Responsible for..." scores significantly lower than "Architected..."

Building the Fix

I realized that the only way to consistently beat an ATS is to analyze resumes the exact same way an ATS does—using Natural Language Processing (NLP).

I decided to build a tool that acts as a "pre-ATS parser." It reads a user's resume, reads the target job description, and outputs an actionable score.

To do this, I needed an LLM that was fast, had a massive context window (resumes can get long), and didn't cost a fortune per API call. Enter Gemini AI.

The Architecture

Here is the flow of the application:

PDF Extraction: The user uploads a PDF. The frontend parses the text using pdf.js.
The Prompt Construction: We combine the parsed resume text with the job description.
The Gemini API Call: We instruct Gemini to act as a strict ATS and return a structured JSON response evaluating the match.
The UI: We render the JSON into a beautiful dashboard showing missing skills, formatting errors, and suggested rewrites.

The Code: Talking to Gemini

The magic happens in how you structure the prompt. If you just ask an LLM, "is this resume good?", you get vague garbage. You need to enforce structure.

Here is a snippet of how I implemented the Gemini call in a Next.js API route:

import { GoogleGenerativeAI } from '@google/generative-ai';

const genAI = new GoogleGenerativeAI(process.env.GEMINI_API_KEY!);

export async function POST(req: Request) {
  const { resumeText, jobDescription } = await req.json();

  const model = genAI.getGenerativeModel({ 
    model: 'gemini-1.5-pro-latest',
    // We can enforce JSON output
    generationConfig: { responseMimeType: "application/json" } 
  });

  const prompt = `
    You are a strict Applicant Tracking System (ATS).
    Analyze this resume against the job description.

    Resume: ${resumeText}
    Job Description: ${jobDescription}

    Respond STRICTLY with a JSON object containing:
    {
      "matchScore": number (0-100),
      "missingHardSkills": string[],
      "formattingIssues": string[],
      "actionableAdvice": string[]
    }
  `;

  try {
    const result = await model.generateContent(prompt);
    const response = await result.response;
    const jsonOutput = JSON.parse(response.text());

    return Response.json(jsonOutput);
  } catch (error) {
    return Response.json({ error: 'Failed to analyze resume' }, { status: 500 });
  }
}

Notice the use of responseMimeType: "application/json". This feature of the Gemini API is a lifesaver. It guarantees that the LLM will output valid JSON, which means we can directly consume it in our frontend without writing complex regex parsers.

The Result

By feeding resumes through this Gemini-powered evaluator before submitting them, users were able to increase their keyword match rate significantly. The tool highlights exactly which phrases to swap out.

Building AI tools like this isn't magic; it's just tying together the right APIs. The hard part is usually setting up the boilerplate: the auth, the database, the UI components, and the payment gateways.

If you are a developer looking to build your own AI tools—whether it's an ATS scanner, a content generator, or a coding assistant—you shouldn't start from npm create next-app.

I’ve bundled the exact Next.js, Supabase, Stripe, and Gemini architecture I used for this project into a production-ready boilerplate.

🛠️ Stop writing auth and payment code. Start building your product: Get the Complete AI SaaS Boilerplate for $99

I turned a job-seeker's biggest frustration into a $10/mo SaaS — here is the full code breakdown

Giosue Milan — Fri, 11 Sep 2026 05:30:35 +0000

I turned a job-seeker's biggest frustration into a $10/mo SaaS - here is the full code breakdown

If there's one thing that unites every software engineer, product manager, and designer looking for a new role, it's the soul-crushing experience of tailoring your resume for the 100th time.

A few months ago, I was helping a friend optimize their resume for different roles. We spent hours rewriting bullet points to match job descriptions, only to realize that doing this manually at scale was practically impossible.

That’s when the lightbulb went off. This wasn't just a frustration; it was a screaming market need. People will absolutely pay to get their time (and sanity) back.

So, I built an AI-powered resume tailoring SaaS. I priced it at a no-brainer $10/month. Fast forward to today, and it's generating consistent MRR. Here is a full breakdown of the business model, the architecture, and how you can replicate this success.

The Business Model

The concept is simple:

The Core Value: Users paste a job description and upload their base resume. The app uses an LLM to rewrite and score their resume specifically for that job.
The Hook: A freemium tier that gives users 3 free tailors. This is crucial for building trust.
The Paywall: Once they see the magic, they hit a hard paywall. For $10/month, they get unlimited tailors, PDF exports, and cover letter generation.
The Unit Economics: API calls cost fractions of a cent. At $10/mo, the profit margin is over 95%.

The Tech Stack

I wanted to move fast. Building a SaaS from scratch takes months, so I relied heavily on a solid foundation.

Frontend: Next.js with TailwindCSS (for rapid UI development)
Backend: Next.js API Routes (keeps everything in one repo)
Database: Supabase (PostgreSQL + Auth)
Payments: Stripe Checkout
AI Magic: Google's Gemini API (fast, incredibly capable, and cost-effective)

The Core Logic Breakdown

Here's the simplified backend logic for the resume analysis endpoint. Notice how straightforward it is once you have the right infrastructure in place:

// pages/api/analyze.js
import { GoogleGenerativeAI } from '@google/generative-ai';
import { createClient } from '@supabase/supabase-js';

const genAI = new GoogleGenerativeAI(process.env.GEMINI_API_KEY);
const supabase = createClient(process.env.SUPABASE_URL, process.env.SUPABASE_KEY);

export default async function handler(req, res) {
  if (req.method !== 'POST') return res.status(405).end();

  const { userId, resumeText, jobDescription } = req.body;

  // 1. Check user subscription status
  const { data: user } = await supabase
    .from('users')
    .select('is_pro, credits')
    .eq('id', userId)
    .single();

  if (!user.is_pro && user.credits <= 0) {
    return res.status(403).json({ error: 'Please upgrade to Pro' });
  }

  // 2. The AI prompt
  const prompt = `
    You are an expert ATS optimizer. 
    Compare this resume: ${resumeText} 
    To this job description: ${jobDescription}.
    Return a JSON object containing:
    - 'score' (0-100)
    - 'missingKeywords' (array of strings)
    - 'improvedBullets' (array of strings suggesting rewrites)
  `;

  // 3. Call Gemini
  const model = genAI.getGenerativeModel({ model: 'gemini-1.5-flash' });
  const result = await model.generateContent(prompt);
  const responseText = result.response.text();

  // 4. Decrement credits if not pro
  if (!user.is_pro) {
    await supabase.rpc('decrement_credit', { user_id: userId });
  }

  return res.status(200).json(JSON.parse(responseText));
}

This simple script is the engine of the entire business. It takes raw text, applies high-value logic via an LLM, and returns structured data that the frontend renders into a beautiful report.

The Secret to Moving Fast

The truth is, building the core logic (the AI integration) took maybe a day. What normally takes weeks is setting up the boilerplate: user authentication, Stripe webhooks, database schemas, and landing pages.

I didn't want to spend 3 weeks writing Stripe integration code again.

If you want to build your own profitable Micro-SaaS like this without reinventing the wheel, you need a solid foundation. You can spend weeks setting up Auth, Payments, and Database schemas, or you can skip straight to the fun part.

I’ve packaged the exact architecture I used to build this into a ready-to-deploy boilerplate.

🚀 Skip the setup and launch your SaaS this weekend: Grab the Ultimate AI SaaS Boilerplate for just $99

Nfc Energy Harvesting Pcb Business Card With An Mcu Review Guide

Giosue Milan — Mon, 31 Aug 2026 03:31:45 +0000

The Battery-Free Smart Card Revolution: A Hands-On Review of NFC Energy-Harvesting MCU PCBs

In professional networking, first impressions are everything. But in a landscape crowded with QR codes and cheap plastic tap-to-share cards, how does a high-tier developer, cybersecurity expert, or tech founder stand out?

Enter the NFC Energy-Harvesting MCU PCB Business Card.

It’s not just a card; it's a fully functional, battery-free embedded system packed inside a 1.6mm-thick piece of FR-4 fiberglass. In this review, we’ll dive deep into the tech behind passive RF power harvesting, explore the hardware stack making this possible, and evaluate whether building (or selling) these high-tech novelties is worth your time.

What is an NFC Energy-Harvesting MCU PCB?

At its core, this device is a printed circuit board (PCB) styled to the dimensions of a standard business card. However, unlike passive NFC tags that simply store a URL, this card integrates an onboard Microcontroller Unit (MCU)—such as the ultra-cheap WCH CH552 or Microchip ATTiny85—and an array of LEDs or an e-paper display.

The real engineering marvel? It has no battery.

+-------------------------------------------------------------+
| [ NFC Coil Antenna ] -> (Harvests 13.56 MHz RF Field) |
| | |
| v |
| [ Schottky Rectifier Bridge ] |
| | |
| v |
| [ Voltage Regulator ] |
| | |
| v |
| [ Ultra-Low Power MCU ] |
| / \ |
| v v |
| [ Status LEDs ] [ Dynamic NFC payload ] |
+-------------------------------------------------------------+

When tapped against an NFC-enabled smartphone, the phone's transmitter emits a magnetic field at 13.56 MHz. The trace antenna etched directly into the outer edges of the PCB acts as an inductor, harvesting this RF energy and converting it into AC electricity. This current is rectified to DC, regulated to a stable 3.3V, and powers up the MCU to execute its onboard program instantly.

The Tech Stack: Under the Hood

To truly appreciate these cards, we have to look at the components that make passive execution possible without blowing the power budget.

1. The Energy Harvesting Front-End

Most DIY designs rely on a dedicated energy-harvesting chip or a custom rectifier circuit. High-end implementations use chips like the STMicroelectronics ST25DV series dynamic NFC tags. These chips feature a dedicated energy-harvesting pin (V_EH) that delivers analog power directly from the RF field, outputting up to several milliwatts of power—plenty to drive a modern low-power MCU and several high-efficiency LEDs.

2. The Microcontroller (MCU)

You can't just throw any chip on here; it has to boot up and run on micro-amps.

WCH CH552: An absolute favorite in the community. It's an 8-bit enhanced E8051 core MCU that costs less than $0.30 in volume, supports USB connectivity (so you can program it via a USB port etched onto the PCB), and has extremely low power states.
ATTiny13A / ATTiny85: Trusted AVR microcontrollers that can execute instructions within microseconds of power-up.

3. The Visuals (LEDs and E-Paper)

To provide visual feedback when a tap is successful, developers use ultra-bright, low-current SMD LEDs (such as 0603 or 0402 packages). Advanced variations even integrate small flexible E-paper displays, which retain their image even after the phone is pulled away and power is lost.

Performance & Usability: The Verdict

The Setup & Customization (Score: 9/10)

For embedded developers, designing these cards is a rewarding challenge. Utilizing EDA software like KiCAD, you can design custom art, route the antenna traces (calculating the correct inductance for 13.56 MHz resonance can be tricky but is highly documented), and order them from rapid PCBA prototyping houses like JLCPCB.

If you don't want to design from scratch, there are several open-source designs on GitHub (like the NFC-Card projects) that let you import schematics, change the silkscreen logo, and immediately send them to production.

The Power Budget Reality Check (Score: 8/10)

While energy harvesting sounds magical, it is highly dependent on the host smartphone. iPhones generally emit a strong, consistent NFC field, whereas some Android devices throttle the field to conserve battery. In our testing:

LED indicator cards boot and flash instantly on 95% of modern phones.
USB-emulation payloads (where the card acts as a keyboard when plugged into a PC) run seamlessly.
Advanced MCU routines require careful power management code (putting the MCU to sleep immediately after execution to allow the capacitor bank to recharge).

The Monetization Potential: A Lucrative Side-Hustle

This is where the product goes from a cool hobby to a highly profitable business model.

The raw manufacturing cost of a fully assembled, gold-plated, component-populated MCU business card is roughly $3.50 to $5.00 when ordered in batches of 100. However, the perceived value of these cards is incredibly high.

Tech founders, cybersecurity consultants, and Web3 executives routinely pay premium prices for custom hardware branding. Selling these as a service can net incredible margins:

B2C Custom Sales: $75–$150 per card for individual custom designs.
B2B Corporate Bundles: $1,500–$3,000 for a pack of 20 cards customized with the client's corporate branding and custom-compiled dynamic firmware.

Final Verdict: Is It Worth It?

If you are a hardware enthusiast, developer, or digital product marketer looking for a highly differentiated high-tech offering, absolutely.

Traditional business cards are dead. This technology represents the perfect blend of hardware craftsmanship, cyberpunk aesthetics, and practical utility. It acts as an instant conversation starter and a physical demonstration of your technical capabilities.

Pros:

Stunning, high-end cyberpunk aesthetic that commands attention.
Completely battery-free; infinite lifespan.
Massive profit margins for creators and designers.
Fully programmable MCU opens up endless interactive possibilities.

Cons:

Requires a basic understanding of PCB design and low-power programming.
Variable RF field strengths across older Android models can affect boot times.

Affiliate Disclosure: This post contains affiliate links to PCB manufacturing services and component suppliers. If you use these links to buy resources, we may earn a small commission at no extra cost to you. This helps support our hardware testing lab.

Commercially Available Bike Generators Are Not Sustainable 2011 Review Guide

Giosue Milan — Mon, 31 Aug 2026 03:30:58 +0000

The Truth About Commercial Bike Generators: A 10-Year Retro Review of the 2011 "Green Tech" Trend

If you were lurking around the sustainability blogosphere or DIY forums in 2011, you probably remember the absolute craze surrounding commercial bicycle generators.

Companies sprung up overnight promising that you could pedal your way to off-grid energy independence. Sleek, powder-coated steel trainers, high-tech digital displays, and custom-wound alternators filled the pages of green design magazines. They promised to power your laptop, your TV, and your emergency lights.

But there was a massive elephant in the room that nobody—except a few thermodynamic realists—wanted to talk about.

Today, we are taking a look back at those $1,000+ commercial systems, reviewing why they ultimately failed, and exploring why DIY upcycled systems are the only true sustainable way forward.

The Promise vs. The Physics: A Reality Check

To understand why commercial bike generators failed, we have to look at the basic physics of human output.

[Average Human Legs] ──(Continuous Effort)──> ~75 to 100 Watts of DC Power

If you are highly fit, you might maintain 150 Watts for an hour. If you are an Olympic-level cyclist, maybe 300–400 Watts for a short burst.

For the average homeowner, let's assume a highly generous output of 100 Watts continuous.

If you pedal furiously for one full hour, you have generated 0.1 Kilowatt-hour (kWh) of electricity.

In the United States, the average cost of grid electricity is roughly $0.16 per kWh.
Your one hour of grueling, sweat-inducing physical labor just saved you exactly 1.6 cents ($0.016).

The Embodied Energy Trap: Why "New" is Not Sustainable

Here is where the 2011 commercial models became an ecological disaster.

Manufacturing a heavy-duty steel trainer stand, a custom copper-wound alternator, rubber rollers, plastic housing, and shipping it from an overseas factory to your doorstep requires a massive amount of fossil fuel. This is known as embodied energy.

The estimated carbon footprint to manufacture and ship one premium commercial bike generator kit in 2011 was approximately 150 kg of CO2.

To offset that manufacturing footprint through your clean pedal power, you would need to generate approximately 375 kWh of electricity. At 100 Watts per hour, that is 3,750 hours of continuous pedaling.

If you rode that bike generator for 1 hour every single day, it would take you 10.2 years just to pay back the carbon debt of its manufacturing process. That doesn't even include the battery you need to store the energy!

Verdict on Commercial Units: Greenwashed fitness toys. They are physically and ecologically unsustainable.

The Alternative: The Upcycled DIY Approach

Does this mean pedal power is dead? Absolutely not. It just means we need to stop buying new things to solve old environmental problems.

True sustainability lies in salvage.

Instead of mining new copper and smelting new steel, you can build an incredibly efficient generator using discarded items that are already headed to the landfill:

The Motor: Old treadmill motors are incredibly robust DC generators. Because they are designed to run on high voltage, spinning them at moderate speeds with a bicycle wheel easily produces 12V to 24V of clean DC power.
The Frame: A discarded, rusty bicycle from a yard sale or thrift store, placed on a cheap, second-hand trainer stand.
The Storage: A used, but still functional, AGM marine battery or an upcycled lithium-ion pack from an old e-bike.

[Discarded Treadmill Motor] + [Scrap Bicycle Frame] = 0 Carbon Manufacturing Footprint

By sourcing salvaged materials, your embodied energy footprint is zero. Every single Watt-hour you generate from day one is a net positive for the planet.

What Components Do You Need for an Upcycled System?

If you want to build a truly sustainable pedal generator, here is the hardware you should look for (we recommend sourcing these used locally, but if you must buy new helper components, these are the gold standards):

The Generator Motor: Look for a Permanent Magnet DC Motor (PMDC) rated for 90V–130V. Treadmill motors are perfect for this.
The Blocking Diode: You will need a Schottky Diode (25A 45V or higher) to ensure that power only flows from your generator to your battery, preventing the battery from sending power back to spin your pedals.
The Charge Controller: To safely charge a 12V battery without cooking it, route your power through a highly efficient Renogy Wanderer 10A Charge Controller.
The Storage Battery: A simple, reliable 12V 35AH Deep Cycle AGM Battery is perfect for storing human-generated power.

Final Thoughts

The commercial bike generator boom of 2011 was a classic example of "solving" an ecological problem with consumerism. Buying a brand-new, expensive machine to generate microscopic amounts of power makes zero thermodynamic or economic sense.

But if you are a maker, a prepper, or a true sustainability enthusiast, building a generator out of discarded e-waste is one of the most educational, satisfying, and genuinely green projects you can undertake.

Skip the commercial greenwashing. Go salvage something, and build your own power.

Haiku R1 Beta6 Has Been Released Review Guide

Giosue Milan — Mon, 31 Aug 2026 03:30:11 +0000

SEO AFFILIATE ARTICLE (Medium/Dev.to Style)

Title: Haiku R1/Beta6 Review: Is This Nostalgic, Lightning-Fast OS Ready for Your Daily Dev Workflow?
SEO Meta-Description: Haiku R1/Beta6 is here. Read our hands-on review of the legendary BeOS successor. Discover its speed, developer tools, and why it's the ultimate distraction-free environment.
Primary Keywords: Haiku R1 Beta 6 review, BeOS successor, distraction-free OS, lightweight operating system for developers, open source OS.

There is a quiet revolution happening in the operating system space.

While Windows 11 continues to add telemetry, AI recalls, and system-level advertisements, and modern Linux distributions grow increasingly complex, a silent contender has just dropped its most polished release yet.

Haiku R1/Beta6 is officially here.

For the uninitiated, Haiku is the open-source spiritual successor to BeOS—the legendary 1990s operating system that almost became the foundation for the modern Mac.

In this review, we’ll take a deep dive into what makes Beta 6 a monumental release, whether you can use it for daily development work, and how it manages to make a 15-year-old laptop feel faster than a brand-new MacBook Pro.

What is Haiku OS? (And Why Should You Care?)

Unlike Linux, Haiku is not a distribution. It is built from scratch. It is a unified, single-use, desktop-focused operating system written entirely in C++.

Because the kernel, graphics server, and desktop environment are designed by the same unified team, the cohesion is unmatched. There is no X11 vs. Wayland debate here; the system is incredibly responsive, boasting near-zero latency mouse tracking and instant window redraws.

What’s New in R1/Beta6?

Haiku R1/Beta6 brings massive quality-of-life updates that push it closer to an absolute daily driver.

1. Major WebPositive Upgrades

The native web browser, WebPositive, has received a major under-the-hood engine overhaul. Using an updated WebKit port, WebPositive now loads modern, JavaScript-heavy sites (like GitHub, YouTube, and StackOverflow) with significantly fewer rendering bugs.

2. Enhanced Hardware Compatibility

Beta 6 introduces updated drivers for modern Wi-Fi chipsets, improved USB 3.0 support, and better audio routing. It also features expanded support for graphics acceleration, meaning less CPU overhead when watching video content or playing port games.

3. Streamlined Package Management

The Haiku Depot app store is cleaner, faster, and features thousands of newly compiled packages. Popular developer tools like Git, Python, GCC, Rust, Neovim, and VS Code (via community ports) are now installable in a single click.

The Developer Experience: Can You Code on Haiku?

If you are a web developer, systems programmer, or terminal enthusiast, Haiku R1/Beta6 is an absolute dream.

bash

Installing your dev stack is as simple as:

pkgman install python39 git neovim nodejs

The system is fully POSIX-compliant. The terminal is snappy, and because the system is so lightweight, compilations run incredibly fast.

The main drawback? You won’t be running native Docker containers here due to kernel differences, but for pure native development (especially C++, Python, or Rust), the distraction-free environment is unmatched.

The Verdict: Should You Install It?

Haiku R1/Beta6 is not a replacement for your high-end gaming rig or a corporate Windows machine running proprietary enterprise software.

Instead, it is the ultimate alternative OS. It is the perfect system to install on an old ThinkPad to create a lightning-fast, distraction-free writing or coding machine. It is a monument to what software engineering can achieve when bloat is ruthlessly eliminated.

How to Get Started Today

Ready to try Haiku R1/Beta6 yourself? You don't need to wipe your hard drive. You can easily run it from a live USB key or inside a virtual machine (like VirtualBox or UTM).

Want a pre-configured bootable USB drive delivered to your door? Skip the flashing hassle and grab a Haiku R1/Beta6 Plug-and-Play USB Key here (Affiliate Link).
Ready to monetize this niche? Learn how to build a micro-business selling custom builds, writing setups, and porting apps with The Haiku R1/Beta6 Monetization Playbook for just $1.00.

Are you planning to install Haiku R1/Beta6? Let us know in the comments below!

Autostep Yc P26 Is Hiring Ai Fullstack Engineers And A Chief Of Staff Review Guide

Giosue Milan — Mon, 24 Aug 2026 18:57:20 +0000

ASSET 2: SEO AFFILIATE ARTICLE (Medium / Dev.to)

How to Get Hired at Autostep (YC P26): Insider Secrets to Land the AI/Fullstack or Chief of Staff Role

The competition for Y Combinator startups has reached an all-time high. With the kickoff of the YC P26 batch, one company is dominating developer forums and tech circles: Autostep.

Autostep is building the next generation of autonomous task-planning agents, and they have officially opened applications for two crucial roles: AI/Fullstack Engineers and a Chief of Staff.

If you've submitted your resume through standard portals, you've likely realized it’s a black hole. In this article, we’ll analyze what Autostep is building, what their hiring managers are actually looking for, and review the ultimate shortcut tool that is helping developers land direct interviews.

Who is Autostep (YC P26)?

Before you apply, you must understand their core product. Autostep isn't just another wrapper around the GPT-4 API. They are building an agentic infrastructure layer that allows enterprise software to execute multi-step workflows with zero human drift.

Think of it as Zapier, but with reasoning capabilities that adapt on the fly when web structures change. They are backed by Y Combinator (YC P26), meaning they have the capital, the network, and the hyper-growth trajectory of a future unicorn.

Decoding the Target Roles

1. The AI/Fullstack Engineer

Autostep needs builders who can bridge the gap between high-level LLM reasoning and rugged, scalable frontend/backend systems.

The Stack: You must be proficient in Python (FastAPI), TypeScript (Next.js), and vector database operations.
The Crux: They need engineers who understand how to handle latency issues, LLM hallucinations, and real-time state synchronization.

2. The Chief of Staff

This is a highly operational role. You will work directly with the founders.

The Profile: Ex-investment bankers, top-tier consultants, or previous early-stage founders.
The Goal: Unblocking the engineering team, managing investor communications, streamlining recruiting, and driving product-market fit.

The Hard Truth: Traditional Applying is Broken

If you use the "Easy Apply" button on LinkedIn or upload your generic resume to their career page, your chances of getting an interview are less than 1%. Early-stage YC founders are inundated with thousands of applications. They filter for one thing: proof of execution capability.

To stand out, you need:

An optimized, AI-centric portfolio.
A custom-built "proof of work" project showcasing how you can solve their current scalability problems.
A direct channel of communication with the decision-makers.

Product Review: The Autostep (YC P26) Job Landing Blueprint

To skip the queue, many candidates are turning to a specialized resource that recently launched: The Autostep (YC P26) Job Landing Blueprint.

This digital guide is designed specifically for this hiring cycle. Here is an honest review of what you get and whether it’s worth your investment.

What’s Included in the Blueprint?

Founder Outreach Templates: Copy-and-paste cold outreach emails that have been proven to get responses from YC founders by utilizing high-context technical hooks.
System Design Prep: Detailed breakdowns of the exact architectural challenges Autostep is facing (e.g., managing long-running agent workflows without state-drift).
The Chief of Staff Case Study Guide: Actual templates for investor updates and launch frameworks to pass the take-home tests.
Portfolio Upgrades: Step-by-step instructions on how to frame your previous experience so it aligns perfectly with the YC P26 investment thesis.

Pros:

Highly Targeted: Unlike generic interview books, this is tailored specifically to Autostep’s tech stack and product space.
No Fluff: You can read and implement the entire guide in under 2 hours.
Insane Pricing: To attract early reviews, the creators have priced the guide at only $1.00 for early adopters.

Cons:

Limited Availability: The $1.00 beta-tester price is capped at 100 copies before it jumps to $49.00.

The Verdict

If you are serious about securing a high-equity, high-growth role at a top-tier YC P26 startup, you cannot rely on traditional job hunt methods. You need an aggressive, tactical approach.

At just $1.00, buying The Autostep (YC P26) Job Landing Blueprint is an absolute no-brainer. Even if you only use one of the cold email templates, the return on investment could mean landing a high-paying role with life-changing equity.

Don’t wait until they close the application pool. Get prepared, stand out, and secure your place at Autostep today.

👉 Download the Autostep (YC P26) Blueprint for $1.00 here before the price increases.